DeepFace:Closing the Gap to Human-Level Performance in Face Verification

Deep Learning Face Representation from Predicting 10,000 Classes

  实际上作者就是利用每张人脸的图片，去做成60个patches，每个patch训练一个models，最后一层是softmax。然后用训练得到的模型提取features，将60个CNN models提取到的features组成一个vector，最后用来训练用于验证的神经网络。